N. Ishihama

6-DoF Pose Estimation for Axisymmetric Objects Using Deep Learning with Uncertainty

Shintaro Hashimoto, Daichi Hirano, N. Ishihama, 2020, 2020 IEEE Aerospace Conference.

Identification of Truly High-risk Conjunction Events by Predicting Future CDM

Keisuke Sugawara, N. Ishihama, Hideaki Hinagawa, 2022, AIAA SCITECH 2022 Forum.

Anomaly Detection Method for Spacecrafts Based on Association Rule Mining

Shinichi Nakasuka, Yoshikiyo Kato, Takehisa Yairi, 2001 .

Research on Data Sufficiency and Model Validity toward AI for Critical Systems

Shintaro Hashimoto, N. Ishihama, Haruhiko Higuchi, 2022, 2022 IEEE 16th International Symposium on Applied Computational Intelligence and Informatics (SACI).

Prioritizing Scenarios based on STAMP/STPA Using Statistical Model Checking

Hajimu Iida, Toshinori Takai, Naoki Ishihama, 2020, 2020 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW).

Status of x-ray imaging and spectroscopy mission (XRISM)

Matteo Guainazzi, Ryuichi Fujimoto, Ryo Iizuka, 2020, Astronomical Telescopes + Instrumentation.

Adaptive limit checking for spacecraft telemetry data using regression tree learning

Shinichi Nakasuka, Takehisa Yairi, Koichi Hori, 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

Detecting Uncertain BNN Outputs on FPGA Using Monte Carlo Dropout Sampling

Tomoyuki Myojin, Naoki Ishihama, Shintaro Hashimoto, 2020, ICANN.

Improving Reliability of Object Detection for Lunar Craters Using Monte Carlo Dropout

Kenji Mori, Keisuke Sugawara, Tomoyuki Myojin, 2019, ICANN.